poisson.test {CPCAT}

Perform the closure principle computational approach test (CPCAT) for one main hypothesis H0i: mu_0=mu_i.

Description

Perform the closure principle computational approach test (CPCAT) for one main hypothesis H0i: mu_0=mu_i.

Usage

poisson.test(Data, contrastmatrix, M = 10000)

Arguments

Data

The data matrix.

contrastmatrix

The contrasts according to the closure principle induced intersection hypotheses.

M

The number of parametric bootstrap simulations. Defaults to M=10000.

Value

The set of p-values according to the intersection hypotheses and the maximum p-value.

Examples

#Consider a data set of one control group and 3 treatment groups
data(testdata2)
#Test the main hypothesis H0: mu_0=mu_1 using M=10000
#simulation runs
C=hypotheses(3)[[1]] #Generate the set of intersection hypotheses
#according to H0
poisson.test(testdata2,contrastmatrix=C,M=10000)